BOLD
ABOUT BOLD
As an established global organization (17 years and counting), BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment.
We create digital products that have empowered over three million people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time.
Our employees are experts, learners, contributors, and creatives.
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Senior Software Engineer- Data Science (Search and Match)
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BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
WHAT YOU’LL NEED
- Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
- Expert knowledge in Python.
- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .
- Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)
- Experience with Solr/OpenSearch/Elasticsearch …
- Experience with embedding & vector search
- Should have done one or more projects involving fine-tuning with LLMs
- Experience in feature selection, building and optimising classifiers.
- Experience working with backend technologies such as Flask/ Gunicorn etc.
- Experience on working with open source library such Spacy,NLTK,Gensim etc
- Experience on working with deep-learning library such as Tensor flow, Pytorch etc
- Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
- Be a keen learner and enthusiastic about developing software.
EXPERIENCE-
- Software Engineer- 2.5 years+
- Senior Software Engineer-4.5 years+
#LI-SV1
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
Project Lead- Data Science (Search and Match)
Share this job
BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required.
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
- Collaborates effectively with cross-functional teams to deliver end-to-end products & features.
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Estimates efforts, identify risks, devises and meets project schedules.
- Runs review meetings effectively and drive the closure of all open issues on time.
- Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.
- Mentors/coaches data scientists to facilitate their development and provide technical leadership to them.
- Implement and experiment with agentic workflows to improve the job seeker experience.
- Rises above detail to see broader issues and implications for whole product/team.
WHAT YOU’LL NEED
- Should be able to handle a team of 2-5 members, if required.
- Knowledge and experience using statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
- Expert knowledge in Python.
- Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)
- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .
- Experience with Solr/OpenSearch/Elasticsearch …
- Experience with embedding & vector search
- Experience in using large language models.
- Experience with distributed, semantic and vector based search and match systems.
- Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents.
- Experience in feature selection, building and optimizing classifiers.
- Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc.
- Langchain and/or Llamaindex.
- Be a keen learner and enthusiastic about developing software.
EXPERIENCE-
- Project Lead, Data Science- 8 years+
#LI-SV1
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
Module Lead- Data Science (Search and Match)
Share this job
BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
- Collaborates effectively with cross functional teams to deliver end-to-end products & features.
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Estimates efforts, identify risks, devises and meets project schedules.
- Runs review meetings effectively and drive the closure of all open issues on time
- Mentors/coaches data scientists to facilitate their development and provide technical leadership to them.
- Rises above detail to see broader issues and implications for whole product/team.
WHAT YOU’LL NEED
- Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
- Expert knowledge in Python.
- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design.
- Experience with Solr/OpenSearch/Elasticsearch .
- Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)
- Experience with embedding & vector search
- Experience in using large language models.
- Experience in feature selection, building and optimising classifiers.
- Experience working with backend technologies such as Flask/ Gunicorn etc.
- Experience on working with open source library such Spacy,NLTK,Gensim etc
- Experience on working with deep-learning library such as Tensor flow, Pytorch etc
- Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
- Be a keen learner and enthusiastic about developing software.
EXPERIENCE-
- Module Lead, Data Science- 5.5 years
#LI-SV1
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
Engineering Manager- Data Science (Search and Match)
Share this job
BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs.
- Responsible for converting business requirements into robust data science algorithms.
- Responsible for providing technical leadership to a team of data science engineers.
- Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
- Collaborates effectively with cross functional teams to deliver end-to-end products & features.
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Responsible for creating model validation framework.
- Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data.
- Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.
- Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation.
- Assess, inspire and motivate a high performing team of data science professionals.
WHAT YOU’LL NEED
- Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.
- Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.
- 10+ yrs of working experience in MLData science with NLP background
- Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)
- Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.
- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .
- Experience with Solr/OpenSearch/Elasticsearch …
- Experience with embedding & vector search
- Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).
- Experience in leading a team of 3-5 data scientists.
- Experience using tools to deploy models into the production environment such as Jenkins
EXPERIENCE-
- Engineering Manager, Data Science- 10 years+
#LI-SV1
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD